I have scientific database with articles and coauthors. using this database I am training word2vec model on co-authors.
Use use case here is to disambiguate authors.
I was wondering my approach here can be improved or any suggestions will greatly be appreciated.
Topic word2vec word-embeddings nlp python
Category Data Science
You probably do not need to use word2vec to disambiguate authors. It might be effective to use regular expressions to parse names and then do a web search.
If you do want to train word2vec to disambiguate authors, it would be better to embed all possible information (e.g., authors, title, journal, abstract, ...).
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